Research Article
Detection of word shift steganography in PDF document
@INPROCEEDINGS{10.1145/1460877.1460897, author={Li Lingjun and Huang Liusheng and Yang Wei and Zhao Xinxin and Yu Zhenshan and Chen Zhili}, title={Detection of word shift steganography in PDF document}, proceedings={4th International ICST Conference on Security and Privacy in Communication Networks}, publisher={ACM}, proceedings_a={SECURECOMM}, year={2008}, month={9}, keywords={Text steganography steganalysis information hiding word shift PDF}, doi={10.1145/1460877.1460897} }- Li Lingjun
Huang Liusheng
Yang Wei
Zhao Xinxin
Yu Zhenshan
Chen Zhili
Year: 2008
Detection of word shift steganography in PDF document
SECURECOMM
ACM
DOI: 10.1145/1460877.1460897
Abstract
Word shift is a fundamental format based text steganography. It embeds secret information in text by shifting words slightly. Compared with study on steganography, research on its steganalysis is still in its infancy. In this paper, we present a blind steganalysis method to detect word shift in PDF document. Our method is to find features sensitive to word shift and use classifier to learn and remember feature differences between natural document and stego one. In order to design sensitive features, we propose two concepts "neighbor difference" and "environment equal", which reveal the spaces' statistical property. Then, we divided the PDF document into two types to make our method work efficiently. At last, we design a series of experiments to demonstrate performance of our method. The detection accuracy of our method can be up to 93.3%. Our initial results shows that our proposed concepts are very useful in text steganalysis and offer help for other related works.
